Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.

Detalhes bibliográficos
Autor(a) principal: GONÇALVES, G. de M. C.
Data de Publicação: 2020
Outros Autores: GOMES, R. L. F., LOPES, A. C. de A., VIEIRA, P. F. de M. J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538
Resumo: The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.
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spelling Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.Glycine MaxInteração GenéticaGene interactionMixed standsMultivariate analysisThe aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN.GONÇALVES, G. de M. C.GOMES, R. L. F.LOPES, A. C. de A.VIEIRA, P. F. de M. J.2020-07-01T11:12:43Z2020-07-01T11:12:43Z2020-06-302020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Breeding and Applied Biotechnology, v. 20, n. 2, e282920217, 2020.1518-7853http://www.alice.cnptia.embrapa.br/alice/handle/doc/112353810.1590/1984-70332020v20n2a33enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-07-01T11:12:50Zoai:www.alice.cnptia.embrapa.br:doc/1123538Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-07-01T11:12:50Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
spellingShingle Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
GONÇALVES, G. de M. C.
Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
title_short Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_full Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_fullStr Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_full_unstemmed Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
title_sort Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot.
author GONÇALVES, G. de M. C.
author_facet GONÇALVES, G. de M. C.
GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
author_role author
author2 GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
author2_role author
author
author
dc.contributor.none.fl_str_mv Gabriel de Moraes Cunha Gonçalves, UFPI, Teresina.; Regina Lucia Ferreira-Gomes, UFPI, Teresina; Ângela Celis de Almeida Lopes, UFPI, Teresina; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN.
dc.contributor.author.fl_str_mv GONÇALVES, G. de M. C.
GOMES, R. L. F.
LOPES, A. C. de A.
VIEIRA, P. F. de M. J.
dc.subject.por.fl_str_mv Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
topic Glycine Max
Interação Genética
Gene interaction
Mixed stands
Multivariate analysis
description The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-01T11:12:43Z
2020-07-01T11:12:43Z
2020-06-30
2020
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Crop Breeding and Applied Biotechnology, v. 20, n. 2, e282920217, 2020.
1518-7853
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538
10.1590/1984-70332020v20n2a33
identifier_str_mv Crop Breeding and Applied Biotechnology, v. 20, n. 2, e282920217, 2020.
1518-7853
10.1590/1984-70332020v20n2a33
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1123538
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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